Access the full text.
Sign up today, get DeepDyve free for 14 days.
JH Lee, SC Chae, DH Yang (2010)
Influence of weather on daily hospital admissions for acute myocardial infarction (from the korea acute myocardial infarction registry)Int. J. Cardiol., 144
B López, B Innocenti, D Busquets (2008)
A multiagent system for coordinating ambulances for emergency medical servicesIntel. Syst. IEEE, 23
M Takahashi, S Kohsaka, H Miyata (2011)
Association between prehospital time interval and short-term outcome in acute heart failure patientsJ. Card. Fail., 17
DP Bertsekas (1992)
Auction algorithms for network flow problems: A tutorial introductionComput. Optim. Appl., 1
D Lloyd-Jones, RJ Adams, TM Brown, M Carnethon, S Dai, G De Simone, TB Ferguson, E Ford, K Furie, C Gillespie (2010)
Heart disease and stroke statistics 2010 update a report from the american heart associationCirculation, 121
I Kriszbacher, I Boncz, M Koppán, J Bódis (2008)
Seasonal variations in the occurrence of acute myocardial infarction in hungary between 2000 and 2004Int. J. Cardiol., 129
CP Cannon, CM Gibson, CT Lambrew, DA Shoultz, D Levy, WJ French, JM Gore, WD Weaver, WJ Rogers, AJ Tiefenbrunn (2000)
Relationship of symptom-onset-to-balloon time and door-to-balloon time with mortality in patients undergoing angioplasty for acute myocardial infarctionJAMA: J. Amer. Med. Assoc., 283
G De Luca, H Suryapranata, JP Ottervanger, EM Antman (2004)
Time delay to treatment and mortality in primary angioplasty for acute myocardial infarction every minute of delay countsCirculation, 109
SC Brooks, RH Schmicker, TD Rea (2010)
Out-of-hospital cardiac arrest frequency and survival: Evidence for temporal variabilityResuscitation, 81
HW Kuhn (1955)
The hungarian method for the assignment problemNaval Res. Logis. Q., 2
N Behzadia, MA Salinero-Fortb, A de Blasc, M Taboadaa, L Pérez de Islad, JL López-Sendóne (2012)
Prehospital thrombolysis: Two years experience of the community of madrid emergency services (summa 112)Rev Esp Cardiol (Engl Ed)., 65
PR Martens, P Calle, B Van den Poel, P Lewi (1995)
Further prospective evidence of a circadian variation in the frequency of call for sudden cardiac deathIntensive Care Med., 21
DP Bertsekas (1988)
The auction algorithm: A distributed relaxation method for the assignment problemAnn. Oper. Res, 14
M Gendreau, G Laporte, F Semet (2001)
A dynamic model and parallel tabu search heuristic for real-time ambulance relocationParallel Comput., 27
P Dilaveris, A Synetos, G Giannopoulos (2006)
Climate impacts on myocardial infarction deaths in the athens territory: The climate studyHeart, 92
H Billhardt, A Fernandez, L Lemus, M Lujak, N Osman, S Ossowski, C Sierra (2014)
Dynamic coordination in fleet management systems: Toward smart cyber fleetsIntel Syst IEEE, 29
CY Soon, WX Chan, HC Tan (2007)
The impact of time-to-balloon on outcomes in patients undergoing modern primary angioplasty for acute myocardial infarctionSing. Med. J., 48
F Guerriero, R Guido (2011)
Operational research in the management of the operating theatre: A surveyHealth Care Manag. Sci., 14
R Manfredini, F Manfredini, B Boari (2009)
Seasonal and weekly patterns of hospital admissions for nonfatal and fatal myocardial infarctionAmer. J. Emer. Med., 27
D Bandara, ME Mayorga, LA McLay (2012)
Optimal dispatching strategies for emergency vehicles to increase patient survivabilityInt. J. Oper. Res., 15
JG Jollis, CB Granger, TD Henry (2012)
Systems of care for st-segment–elevation myocardial infarction: A report from the american heart association mission: LifelineCirc. Cardiovas. Quality Outcomes, 5
F Van de Werf, J Bax, A Betriu (2008)
Management of acute myocardial infarction in patients presenting with persistent st-segment elevationEur. Heart J., 29
J Herlitz, M Eek, M Holmberg, S Holmberg (2002)
Diurnal, weekly and seasonal rhythm of out of hospital cardiac arrest in swedenResuscitation, 54
S Mingo, J Goicolea, L Nombela (2009)
Angioplastia primaria en nuestro medio. análisis de los retrasos hasta la reperfusión, sus condicionantes y su implicación pronósticaRevista española de cardiología, 62
CJ Terkelsen, JT Sørensen, M Maeng (2010)
System delay and mortality among patients with stemi treated with primary percutaneous coronary interventionJAMA: J. Amer. Med. Assoc., 304
B Cardoen, E Demeulemeester, J Beliën (2010)
Operating room planning and scheduling: A literature reviewEur. J. Oper. Res., 201
JRG Leiza, JMA de Llano, JBL Messa (2007)
New insights into the circadian rhythm of acute myocardial infarction in subgroupsChronobiol. Int., 24
G Cugola, A Margara (2012)
Processing flows of information: From data stream to complex event processingACM Comput. Surv. (CSUR), 44
H Billhardt, M Lujak, V Sánchez-Brunete, A Fernández, S Ossowski (2014)
Dynamic coordination of ambulances for emergency medical assistance servicesKnowl.-Based Syst., 70
A Rais, A Viana (2011)
Operations research in healthcare: A surveyInt. Trans. Oper. Res., 18
In this paper we study the coordination of Emergency Medical Service (EMS) for patients with acute myocardial infarction with ST-segment elevation (STEMI). This is a health problem with high associated mortality. A “golden standard” treatment for STEMI is angioplasty, which requires a catheterization lab and a highly qualified cardiology team. It should be performed as soon as possible since the delay to treatment worsens the patient’s prognosis. The decrease of the delay is achieved by coordination of EMS, which is especially important in the case of multiple simultaneous patients. Nowadays, this process is based on the First-Come-First-Served (FCFS) principle and it heavily depends on human control and phone communication with high proneness to human error and delays. The objective is, therefore, to automate the EMS coordination while minimizing the time from symptom onset to reperfusion and thus to lower the mortality and morbidity resulting from this disease. In this paper, we present a multi-agent decision-support system for the distributed coordination of EMS focusing on urgent out-of-hospital STEMI patients awaiting angioplasty. The system is also applicable to emergency patients of any pathology needing pre-hospital acute medical care and urgent hospital treatment. The assignment of patients to ambulances and angioplasty-enabled hospitals with cardiology teams is performed via a three-level optimization model. At each level, we find a globally efficient solution by a modification of the distributed relaxation method for the assignment problem called the auction algorithm. The efficiency of the proposed model is demonstrated by simulation experiments.
Annals of Mathematics and Artificial Intelligence – Springer Journals
Published: Apr 20, 2016
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.